Intel Arc B580 vs NVIDIA Tesla P40
For running models locally, priced in the UK. At 8k context the first runs 13 models fully in memory, the second 28.
In short
The NVIDIA Tesla P40 has more memory for models: 24 GB against 12 GB. At 8k context the NVIDIA Tesla P40 runs 28 of the models we track fully in memory and the Intel Arc B580 13; only the NVIDIA Tesla P40 holds Qwen 3.8 27B. On the models both run fully in memory, the Intel Arc B580 is about 1.1× as fast as the NVIDIA Tesla P40 (estimated, median across models). In the UK the Intel Arc B580 costs £323 at eBay and the NVIDIA Tesla P40 £261 at eBay (used): the NVIDIA Tesla P40 is £62 cheaper.
Updated . Speeds are estimates; how they are worked out.
Specifications
| Spec | Intel Arc B580 | NVIDIA Tesla P40 |
|---|---|---|
| GPU | Arc B580 | Tesla P40 |
| Memory | 12 GB GDDR6 | 24 GB GDDR5 |
| Memory bus | 192-bit | 384-bit |
| Memory bandwidth | 456 GB/s | 346 GB/s |
| FP16 compute | 116.5 TFLOPS | 11.8 TFLOPS |
| Software | SYCL / oneAPI | CUDA |
| Board power | 190 W | 250 W |
| PCIe generation | Gen 4 | Gen 3 |
| PCIe lanes | x8 | x16 |
What each runs
Estimated decode speed with the most precise quant that fits each one est.
| Model | Intel Arc B580 | NVIDIA Tesla P40 |
|---|---|---|
| Qwen 3.8 27B | offload | 10tok/sUD-Q6_K |
| Qwen 3.6 27B | offload | 9tok/sQ6_K |
| Gemma 4 31B | offload | 9tok/sQ5_K_M |
| Qwen 3.6 35B-A3B | offload | 62tok/sUD-Q4_K_M |
| Qwen 3.5 27B | offload | 9tok/sQ6_K |
| Gemma 4 26B-A4B | offload | 32tok/sUD-Q6_K |
| Qwen 3.5 35B-A3B | offload | 62tok/sQ4_K_M |
| GLM 4.7 Flash | offload | 32tok/sQ5_K_M |
| Devstral Small 2 24B | offload | 10tok/sQ6_K |
| gpt-oss 20B | offload | 49tok/sMXFP4 |
| Qwen3 Coder 30B-A3B | offload | 44tok/sQ5_K_M |
| Qwen3 32B | offload | 10tok/sQ4_K_M |
| Gemma 4 12B | 22tok/sQ6_K | 16tok/sQ8_0 |
| Qwen 3.5 9B | 23tok/sQ8_0 | 22tok/sQ8_0 |
| Mistral Small 3.2 24B | offload | 10tok/sQ6_K |
| Gemma 3 27B | offload | 9tok/sQ6_K |
| DeepSeek R1 Distill Qwen 32B | offload | 10tok/sQ4_K_M |
| Qwen3 14B | 22tok/sQ4_K_M | 13tok/sQ8_0 |
| Ministral 3 14B | 21tok/sQ5_K_M | 14tok/sQ8_0 |
| DeepSeek R1 0528 Qwen3 8B | 23tok/sQ8_0 | 22tok/sQ8_0 |
| Qwen3 8B | 23tok/sQ8_0 | 22tok/sQ8_0 |
| Phi-4 14B | 22tok/sQ4_K_M | 12tok/sQ8_0 |
| Qwen 3.5 4B | 48tok/sQ8_0 | 45tok/sQ8_0 |
| Ministral 3 8B | 22tok/sQ8_0 | 21tok/sQ8_0 |
| Granite 4.2 8B | 21tok/sQ8_0 | 20tok/sQ8_0 |
| Gemma 4 E4B | 27tok/sQ8_0 | 25tok/sQ8_0 |
| LFM2.5 8B-A1B | 86tok/sQ8_0 | 88tok/sQ8_0 |
| Llama 3.1 8B | 30tok/sQ6_K | 28tok/sQ6_K |
| Qwen 3.5 122B-A10B | won't run | offload |
| Qwen3 Coder Next | won't run | offload |
| Mistral Small 4 119B | won't run | offload |
| GLM 4.5 Air | won't run | offload |
| Qwen3 Next 80B-A3B | won't run | offload |
| Nemotron 3.5 Lightning 30B-A3B | offload | offload |
| Kimi Linear 48B-A3B | offload | offload |
| Llama 3.3 70B | won't run | offload |
| DeepSeek V4 Flash | won't run | won't run |
| GLM 5.3 Flash | won't run | won't run |
| Qwen 3.8 Flash Next | won't run | won't run |
| MiniMax M2.7 | won't run | won't run |
| Nemotron 3 Super 120B-A12B | won't run | won't run |
| gpt-oss 120B | won't run | won't run |
Questions
- Which is better for local AI, the Intel Arc B580 or the NVIDIA Tesla P40?
- Choose the NVIDIA Tesla P40 to run bigger models. Choose the Intel Arc B580 for speed. Choose the NVIDIA Tesla P40 to spend less.
- Which can run bigger models, the Intel Arc B580 or the NVIDIA Tesla P40?
- At 8k context the NVIDIA Tesla P40 runs 28 of the models we track fully in memory and the Intel Arc B580 13; only the NVIDIA Tesla P40 holds Qwen 3.8 27B.
- Which is faster for local AI, the Intel Arc B580 or the NVIDIA Tesla P40?
- On the models both run fully in memory, the Intel Arc B580 is about 1.1× as fast as the NVIDIA Tesla P40 (estimated, median across models).
- What is the price difference between the Intel Arc B580 and the NVIDIA Tesla P40?
- In the UK the Intel Arc B580 costs £323 at eBay and the NVIDIA Tesla P40 £261 at eBay (used): the NVIDIA Tesla P40 is £62 cheaper.
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